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2020 – today
- 2024
[j48]Jing Li
, Kang Zhou, Shenhan Qian, Wen Li, Lixin Duan, Shenghua Gao:
Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1682-1694 (2024)- [j47]Yuting Xiao, Jingwei Xu, Zehao Yu, Shenghua Gao:
DebSDF: Delving Into the Details and Bias of Neural Indoor Scene Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8854-8869 (2024) - [j46]Ye Huang, Di Kang, Shenghua Gao, Wen Li, Lixin Duan:
High-Level Feature Guided Decoding for Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8281-8291 (2024) - [j45]Hongye Zeng, Kang Zhou, Songhan Ge, Yuchong Gao, Jianhao Zhao, Shenghua Gao, Rui Zheng:
Anatomical Prior and Inter-Slice Consistency for Semi-Supervised Vertebral Structure Detection in 3D Ultrasound Volume. IEEE J. Biomed. Health Informatics 28(4): 2211-2222 (2024) - [c94]Yiqun Zhao, Zibo Zhao, Jing Li, Sixun Dong, Shenghua Gao:
RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation. 3DV 2024: 1413-1423 - [c93]Wenqiao Li, Xiaohao Xu, Yao Gu, Bozhong Zheng, Shenghua Gao, Yingna Wu:
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network. CVPR 2024: 22207-22216 - [c92]Ziming Zhong, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, Shenghua Gao:
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. ECCV (77) 2024: 182-199 - [c91]Shiyu Liu, Zibo Zhao, Yihao Zhi, Yiqun Zhao, Binbin Huang, Shuo Wang, Ruoyu Wang, Michael Xuan, Zhengxin Li, Shenghua Gao:
HeroMaker: Human-centric Video Editing with Motion Priors. ACM Multimedia 2024: 3761-3770 - [c90]Jinpeng Yu, Binbin Huang, Yuxuan Zhang, Huaxia Li, Xu Tang, Shenghua Gao:
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer. ACM Multimedia 2024: 8952-8961 - [c89]Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao:
2D Gaussian Splatting for Geometrically Accurate Radiance Fields. SIGGRAPH (Conference Paper Track) 2024: 32 - [c88]Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao:
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding. WACV 2024: 914-923 - [i73]Chenyu Wang, Weixin Luo, Qianyu Chen, Haonan Mai, Jindi Guo, Sixun Dong, Xiaohua Xuan, Zhengxin Li, Lin Ma, Shenghua Gao:
MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning. CoRR abs/2401.10727 (2024) - [i72]Yuting Xiao, Xuan Wang, Jiafei Li, Hongrui Cai, Yanbo Fan, Nan Xue, Minghui Yang, Yujun Shen, Shenghua Gao:
Bridging 3D Gaussian and Mesh for Freeview Video Rendering. CoRR abs/2403.11453 (2024) - [i71]Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao:
2D Gaussian Splatting for Geometrically Accurate Radiance Fields. CoRR abs/2403.17888 (2024) - [i70]Jiale Xu, Weihao Cheng, Yiming Gao, Xintao Wang, Shenghua Gao, Ying Shan:
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models. CoRR abs/2404.07191 (2024) - [i69]Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao:
3D StreetUnveiler with Semantic-Aware 2DGS. CoRR abs/2405.18416 (2024) - [i68]Jiada Lu, Weiwei Zhou, Xiang Qian, Dongze Lian, Yanyu Xu, Weifeng Wang, Lina Cao, Shenghua Gao:
FCA-RAC: First Cycle Annotated Repetitive Action Counting. CoRR abs/2406.12178 (2024) - [i67]Ziming Zhong, Yanxu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, Shenghua Gao:
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. CoRR abs/2407.13675 (2024) - [i66]Yiqun Zhao, Chenming Wu, Binbin Huang, Yihao Zhi, Chen Zhao, Jingdong Wang, Shenghua Gao:
Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video. CoRR abs/2407.15212 (2024) - [i65]Jinpeng Yu, Binbin Huang, Yuxuan Zhang, Huaxia Li, Xu Tang, Shenghua Gao:
GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer. CoRR abs/2408.06596 (2024) - [i64]Shuo Wang, Binbin Huang, Ruoyu Wang, Shenghua Gao:
Space-time 2D Gaussian Splatting for Accurate Surface Reconstruction under Complex Dynamic Scenes. CoRR abs/2409.18852 (2024) - [i63]Jingwei Xu, Chenyu Wang, Zibo Zhao, Wen Liu, Yi Ma, Shenghua Gao:
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM. CoRR abs/2411.04954 (2024) - [i62]Haohan Weng, Zibo Zhao, Biwen Lei, Xianghui Yang, Jian Liu, Zeqiang Lai, Zhuo Chen, Yuhong Liu, Jie Jiang, Chunchao Guo, Tong Zhang, Shenghua Gao, C. L. Philip Chen:
Scaling Mesh Generation via Compressive Tokenization. CoRR abs/2411.07025 (2024) - [i61]Jiale Xu, Shenghua Gao, Ying Shan:
FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction. CoRR abs/2412.09573 (2024) - [i60]Wenqiao Li, Bozhong Zheng, Xiaohao Xu, Jinye Gan, Fading Lu, Xiang Li, Na Ni, Zheng Tian, Xiaonan Huang, Shenghua Gao, Yingna Wu:
Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties. CoRR abs/2412.14592 (2024) - 2023
- [c87]Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang:
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. AAAI 2023: 3295-3303 - [c86]Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao:
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. CVPR 2023: 2437-2447 - [c85]Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao:
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models. CVPR 2023: 20908-20918 - [c84]Ruoyu Wang, Zehao Yu, Shenghua Gao:
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes. CVPR 2023: 21425-21434 - [c83]Yihao Zhi, Xiaodong Cun, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao:
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation. ICCV 2023: 20750-20760 - [c82]Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao:
Revisiting Event-Based Video Frame Interpolation. IROS 2023: 1292-1299 - [c81]Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao:
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation. NeurIPS 2023 - [i59]Jing Li, Jinpeng Yu, Ruoyu Wang, Zhengxin Li, Zhengyu Zhang, Lina Cao, Shenghua Gao:
P2SDF for Neural Indoor Scene Reconstruction. CoRR abs/2303.00236 (2023) - [i58]Ye Huang, Di Kang, Shenghua Gao, Wen Li, Lixin Duan:
HFGD: High-level Feature Guided Decoder for Semantic Segmentation. CoRR abs/2303.08646 (2023) - [i57]Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao:
Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. CoRR abs/2303.12370 (2023) - [i56]Binbin Huang, Xingyue Peng, Siyuan Shen, Suan Xia, Ruiqian Li, Yanhua Yu, Yuehan Wang, Shenghua Gao, Wenzheng Chen, Shiying Li, Jingyi Yu:
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction. CoRR abs/2304.10780 (2023) - [i55]Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao:
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions. CoRR abs/2306.07154 (2023) - [i54]Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao:
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation. CoRR abs/2306.17115 (2023) - [i53]Jiaben Chen, Yichen Zhu, Dongze Lian, Jiaqi Yang, Yifu Wang, Renrui Zhang, Xinhang Liu, Shenhan Qian, Laurent Kneip, Shenghua Gao:
Revisiting Event-based Video Frame Interpolation. CoRR abs/2307.12558 (2023) - [i52]Yuting Xiao, Jingwei Xu, Zehao Yu, Shenghua Gao:
DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction. CoRR abs/2308.15536 (2023) - [i51]Yihao Zhi, Xiaodong Cun, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao:
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation. CoRR abs/2309.09294 (2023) - [i50]Yiqun Zhao, Zibo Zhao, Jing Li, Sixun Dong, Shenghua Gao:
RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation. CoRR abs/2310.10027 (2023) - [i49]Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao:
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding. CoRR abs/2311.03427 (2023) - [i48]Wenqiao Li, Xiaohao Xu, Yao Gu, Bozhong Zheng, Shenghua Gao, Yingna Wu:
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network. CoRR abs/2311.14897 (2023) - 2022
- [j44]Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5114-5132 (2022) - [j43]Yanyu Xu, Ziheng Zhang, Shenghua Gao:
Spherical DNNs and Their Applications in 360$^\circ$∘ Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7235-7252 (2022) - [j42]Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao:
Future Frame Prediction Network for Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7505-7520 (2022) - [j41]Dongze Lian, Xianing Chen, Jing Li, Weixin Luo, Shenghua Gao:
Locating and Counting Heads in Crowds With a Depth Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9056-9072 (2022) - [j40]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging 41(3): 582-594 (2022) - [j39]Junhao Hu, Chenyang Zhang, Kang Zhou, Shenghua Gao:
Chest X-Ray Diagnostic Quality Assessment: How Much Is Pixel-Wise Supervision Needed? IEEE Trans. Medical Imaging 41(7): 1711-1723 (2022) - [j38]Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao:
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 539-553 (2022) - [j37]Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao:
Memorizing Structure-Texture Correspondence for Image Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2335-2349 (2022) - [c80]Yihao Zhi, Shenhan Qian, Xinhao Yan, Shenghua Gao:
Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces. 3DV 2022: 1-10 - [c79]Li Li, Liansheng Zhuang, Shenghua Gao, Shafei Wang:
HaViT: Hybrid-Attention Based Vision Transformer for Video Classification. ACCV (4) 2022: 502-517 - [c78]Pingxuan Huang, Zhenhua Cui, Jing Li, Shenghua Gao, Bo Hu, Yanyan Fang:
Cross-domain Trajectory Prediction with CTP-Net. CICAI (1) 2022: 80-92 - [c77]Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao:
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. CVPR 2022: 12042-12052 - [c76]Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao:
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. CVPR 2022: 18991-19000 - [c75]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CVPR 2022: 19858-19870 - [c74]Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao:
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation. ECCV (3) 2022: 121-137 - [c73]Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao:
AS-MLP: An Axial Shifted MLP Architecture for Vision. ICLR 2022 - [i47]Yuting Xiao, Jiale Xu, Shenghua Gao:
TaylorImNet for Fast 3D Shape Reconstruction Based on Implicit Surface Function. CoRR abs/2201.06845 (2022) - [i46]Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao:
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. CoRR abs/2204.01018 (2022) - [i45]Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao:
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. CoRR abs/2204.12997 (2022) - [i44]Binbin Huang, Xinhao Yan, Anpei Chen, Shenghua Gao, Jingyi Yu:
PREF: Phasorial Embedding Fields for Compact Neural Representations. CoRR abs/2205.13524 (2022) - [i43]Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao:
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation. CoRR abs/2207.09835 (2022) - [i42]Yihao Zhi, Shenhan Qian, Xinhao Yan, Shenghua Gao:
Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces. CoRR abs/2208.14851 (2022) - [i41]Ruoyu Wang, Zehao Yu, Shenghua Gao:
PlaneDepth: Plane-Based Self-Supervised Monocular Depth Estimation. CoRR abs/2210.01612 (2022) - [i40]Yue Xin, Kang Zhou, Xuanyao Fong, Yumeng Yang, Shenghua Gao, Zhifeng Zhu:
Electrical Tunable Spintronic Neuron with Trainable Activation Function. CoRR abs/2211.13391 (2022) - [i39]Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang:
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation. CoRR abs/2211.16201 (2022) - [i38]Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao:
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models. CoRR abs/2212.14704 (2022) - [i37]Hongye Zeng, Kang Zhou, Songhan Ge, Yuchong Gao, Jianhao Zhao, Shenghua Gao, Rui Zheng:
VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume. CoRR abs/2212.14747 (2022) - 2021
- [j36]Weixin Luo, Wen Liu, Shenghua Gao:
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection. Neurocomputing 444: 332-337 (2021) - [j35]Yanyu Xu, Zhixin Piao, Ziheng Zhang, Wen Liu, Shenghua Gao:
SUNNet: A novel framework for simultaneous human parsing and pose estimation. Neurocomputing 444: 349-355 (2021) - [j34]Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao:
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1070-1084 (2021) - [j33]Ziheng Zhang, Dongze Lian, Shenghua Gao:
RGB-D-based gaze point estimation via multi-column CNNs and facial landmarks global optimization. Vis. Comput. 37(7): 1731-1741 (2021) - [c72]Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao:
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI 2021: 938-946 - [c71]Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao:
KGDet: Keypoint-Guided Fashion Detection. AAAI 2021: 2449-2457 - [c70]Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao:
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. AAAI 2021: 2995-3003 - [c69]Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng:
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. BMVC 2021: 266 - [c68]Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao:
Prior Based Human Completion. CVPR 2021: 7951-7961 - [c67]Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao:
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild. CVPR 2021: 15445-15454 - [c66]Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao:
Layout-Guided Novel View Synthesis From a Single Indoor Panorama. CVPR 2021: 16438-16447 - [c65]Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. CVPR 2021: 16888-16897 - [c64]Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao:
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. ICCV 2021: 11057-11066 - [c63]Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao:
Crowd Counting With Partial Annotations in an Image. ICCV 2021: 15550-15559 - [c62]Yi-Fan Zuo, Li Cui, Xin Peng, Yanyu Xu, Shenghua Gao, Xia Wang, Laurent Kneip:
Accurate depth estimation from a hybrid event-RGB stereo setup. IROS 2021: 6833-6840 - [c61]Zhenjie Chai, Jianlong Yang, Kang Zhou, Zhi Chen, Yitian Zhao, Shenghua Gao, Jiang Liu:
Memory-Assisted Dual-End Adaptation Network For Choroid Segmentation In Multi-Domain Optical Coherence Tomography. ISBI 2021: 1614-1617 - [c60]Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu:
Partially-Supervised Learning for Vessel Segmentation in Ocular Images. MICCAI (1) 2021: 271-281 - [p1]Weixin Luo, Wen Liu, Shenghua Gao:
Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection. Generalization with Deep Learning 2021: 139-155 - [i36]Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao:
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild. CoRR abs/2103.10391 (2021) - [i35]Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao:
Layout-Guided Novel View Synthesis from a Single Indoor Panorama. CoRR abs/2103.17022 (2021) - [i34]Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao:
Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. CoRR abs/2104.04386 (2021) - [i33]Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao:
AS-MLP: An Axial Shifted MLP Architecture for Vision. CoRR abs/2107.08391 (2021) - [i32]Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao:
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. CoRR abs/2108.08020 (2021) - [i31]Xianing Chen, Jialang Xu, Jiale Xu, Shenghua Gao:
OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification. CoRR abs/2109.11159 (2021) - [i30]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images. CoRR abs/2110.01761 (2021) - [i29]Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng:
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. CoRR abs/2110.10953 (2021) - [i28]Pingxuan Huang, Yanyan Fang, Bo Hu, Shenghua Gao, Jing Li:
CTP-Net For Cross-Domain Trajectory Prediction. CoRR abs/2110.11645 (2021) - [i27]Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao:
SVIP: Sequence VerIfication for Procedures in Videos. CoRR abs/2112.06447 (2021) - 2020
- [j32]Yanyan Fang, Shenghua Gao, Jing Li, Weixin Luo, Linfang He, Bo Hu:
Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. Neurocomputing 392: 98-107 (2020) - [j31]Minye Wu, Haibin Ling, Ning Bi, Shenghua Gao, Qiang Hu, Hao Sheng, Jingyi Yu:
Visual Tracking With Multiview Trajectory Prediction. IEEE Trans. Image Process. 29: 8355-8367 (2020) - [j30]Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, Jiang Liu:
Noise Adaptation Generative Adversarial Network for Medical Image Analysis. IEEE Trans. Medical Imaging 39(4): 1149-1159 (2020) - [j29]Tianyang Miller, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Ru Zheng, Jiang Liu:
Correction to "Noise Adaptation Generative Adversarial Network for Medical Image Analysis". IEEE Trans. Medical Imaging 39(7): 2566-2567 (2020) - [j28]Kun Huang, Shenghua Gao:
Image saliency detection via multi-scale iterative CNN. Vis. Comput. 36(7): 1355-1367 (2020) - [c59]Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao:
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery. CVPR 2020: 886-895 - [c58]Zehao Yu, Shenghua Gao:
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. CVPR 2020: 1946-1955 - [c57]Zehao Yu, Lei Jin, Shenghua Gao:
P2Net: Patch-Match and Plane-Regularization for Unsupervised Indoor Depth Estimation. ECCV (24) 2020: 206-222 - [c56]Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. ECCV (20) 2020: 360-377 - [c55]Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou:
Structured3D: A Large Photo-Realistic Dataset for Structured 3D Modeling. ECCV (9) 2020: 519-535 - [c54]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020 - [c53]Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. ISBI 2020: 1227-1231 - [c52]Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu:
SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. ISBI 2020: 1378-1382 - [c51]Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu:
Open-Set OCT Image Recognition with Synthetic Learning. ISBI 2020: 1788-1792 - [c50]Zhenjie Chai, Kang Zhou, Jianlong Yang, Yuhui Ma, Zhi Chen, Shenghua Gao, Jiang Liu:
Perceptual-Assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography. ISBI 2020: 1966-1970 - [c49]Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao:
SIRI: Spatial Relation Induced Network For Spatial Description Resolution. NeurIPS 2020 - [i26]Zehao Yu, Shenghua Gao:
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. CoRR abs/2003.13017 (2020) - [i25]Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. CoRR abs/2007.07527 (2020) - [i24]Zehao Yu, Lei Jin, Shenghua Gao:
P2Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation. CoRR abs/2007.07696 (2020) - [i23]Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. CoRR abs/2008.03632 (2020) - [i22]Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao:
SIRI: Spatial Relation Induced Network For Spatial Description Resolution. CoRR abs/2010.14301 (2020) - [i21]Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. CoRR abs/2011.09055 (2020) - [i20]Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao:
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. CoRR abs/2012.05598 (2020)
2010 – 2019
- 2019
- [j27]Kun Huang, Shenghua Gao:
Wireframe Parsing With Guidance of Distance Map. IEEE Access 7: 141036-141044 (2019) - [j26]Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification. Entropy 21(5): 456 (2019) - [j25]Yanyu Xu, Shenghua Gao, Junru Wu, Nianyi Li, Jingyi Yu:
Personalized Saliency and Its Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2975-2989 (2019) - [j24]Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu:
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. IEEE Trans. Medical Imaging 38(10): 2281-2292 (2019) - [j23]Dongze Lian, Lina Hu, Weixin Luo, Yanyu Xu, Lixin Duan, Jingyi Yu, Shenghua Gao:
Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3010-3023 (2019) - [c48]Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao:
RGBD Based Gaze Estimation via Multi-Task CNN. AAAI 2019: 2488-2495 - [c47]Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao:
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding. CVPR 2019: 1029-1037 - [c46]Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao:
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. CVPR 2019: 1821-1830 - [c45]Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng:
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. CVPR 2019: 4748-4756 - [c44]Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao:
PPGNet: Learning Point-Pair Graph for Line Segment Detection. CVPR 2019: 7105-7114 - [c43]Hengrong Lan, Kang Zhou, Changchun Yang, Jiang Liu, Shenghua Gao, Fei Gao:
Hybrid Neural Network for Photoacoustic Imaging Reconstruction. EMBC 2019: 6367-6370 - [c42]Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. ICCV 2019: 5903-5912 - [c41]Yanyan Fang, Biyun Zhan, Wandi Cai, Shenghua Gao, Bo Hu:
Locality-Constrained Spatial Transformer Network for Video Crowd Counting. ICME 2019: 814-819 - [c40]Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao:
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. IJCAI 2019: 3023-3030 - [c39]Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao:
Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo. MICCAI (1) 2019: 273-281 - [c38]Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. MICCAI (4) 2019: 777-785 - [c37]Ziheng Zhang, Anpei Chen, Ling Xie, Jingyi Yu, Shenghua Gao:
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation. ACM Multimedia 2019: 2124-2132 - [i19]Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao:
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding. CoRR abs/1902.09777 (2019) - [i18]Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu:
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. CoRR abs/1903.02740 (2019) - [i17]Minye Wu, Haibin Ling, Ning Bi, Shenghua Gao, Hao Sheng, Jingyi Yu:
Generic Multiview Visual Tracking. CoRR abs/1904.02553 (2019) - [i16]Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao:
PPGNet: Learning Point-Pair Graph for Line Segment Detection. CoRR abs/1905.03415 (2019) - [i15]Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao:
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. CoRR abs/1905.04094 (2019) - [i14]Ziheng Zhang, Anpei Chen, Ling Xie, Jingyi Yu, Shenghua Gao:
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation. CoRR abs/1905.12898 (2019) - [i13]Dongze Lian, Zehao Yu, Shenghua Gao:
Believe It or Not, We Know What You Are Looking at! CoRR abs/1907.02364 (2019) - [i12]Yanyan Fang, Biyun Zhan, Wandi Cai, Shenghua Gao, Bo Hu:
Locality-constrained Spatial Transformer Network for Video Crowd Counting. CoRR abs/1907.07911 (2019) - [i11]Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou:
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling. CoRR abs/1908.00222 (2019) - [i10]Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. CoRR abs/1908.04346 (2019) - [i9]Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. CoRR abs/1909.12224 (2019) - [i8]Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. CoRR abs/1911.12527 (2019) - [i7]Huihong Zhang, Jianlong Yang, Kang Zhou, Zhenjie Chai, Jun Cheng, Shenghua Gao, Jiang Liu:
BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images. CoRR abs/1912.05090 (2019) - 2018
- [j22]Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu:
Deep Surface Light Fields. Proc. ACM Comput. Graph. Interact. Tech. 1(1): 14:1-14:17 (2018) - [j21]Siyu Huang, Xi Li, Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, Junwei Han:
Body Structure Aware Deep Crowd Counting. IEEE Trans. Image Process. 27(3): 1049-1059 (2018) - [c36]Dongze Lian, Zehao Yu, Shenghua Gao:
Believe It or Not, We Know What You Are Looking At! ACCV (3) 2018: 35-50 - [c35]Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. CVPR 2018: 626-635 - [c34]Yanyu Xu, Zhixin Piao, Shenghua Gao:
Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction. CVPR 2018: 5275-5284 - [c33]Yanyu Xu, Yanbing Dong, Junru Wu, Zhengzhong Sun, Zhiru Shi, Jingyi Yu, Shenghua Gao:
Gaze Prediction in Dynamic 360° Immersive Videos. CVPR 2018: 5333-5342 - [c32]Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao:
Future Frame Prediction for Anomaly Detection - A New Baseline. CVPR 2018: 6536-6545 - [c31]Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao:
Face Aging With Identity-Preserved Conditional Generative Adversarial Networks. CVPR 2018: 7939-7947 - [c30]Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane. ECCV (11) 2018: 181-195 - [c29]Ziheng Zhang, Yanyu Xu, Jingyi Yu, Shenghua Gao:
Saliency Detection in 360 ^\circ ∘ Videos. ECCV (7) 2018: 504-520 - [c28]Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. EMBC 2018: 2724-2727 - [c27]Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu:
Fundus Image Quality-Guided Diabetic Retinopathy Grading. COMPAY/OMIA@MICCAI 2018: 245-252 - [i6]Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. CoRR abs/1808.10564 (2018) - [i5]Anpei Chen, Minye Wu, Yingliang Zhang, Nianyi Li, Jie Lu, Shenghua Gao, Jingyi Yu:
Deep Surface Light Fields. CoRR abs/1810.06514 (2018) - 2017
- [j20]Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma:
Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Trans. Image Process. 26(9): 4182-4192 (2017) - [c26]Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu:
Improving Training of Deep Neural Networks via Singular Value Bounding. CVPR 2017: 3994-4002 - [c25]Weixin Luo, Wen Liu, Shenghua Gao:
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. ICCV 2017: 341-349 - [c24]Weixin Luo, Wen Liu, Shenghua Gao:
Remembering history with convolutional LSTM for anomaly detection. ICME 2017: 439-444 - [c23]Hao Zhu, Shenghua Gao:
Locality Constrained Deep Supervised Hashing for Image Retrieval. IJCAI 2017: 3567-3573 - [c22]Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao:
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. IJCAI 2017: 3887-3893 - [i4]Yanyu Xu, Junru Wu, Nianyi Li, Shenghua Gao, Jingyi Yu:
Personalized Saliency and its Prediction. CoRR abs/1710.03011 (2017) - [i3]Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao:
Future Frame Prediction for Anomaly Detection - A New Baseline. CoRR abs/1712.09867 (2017) - 2016
- [j19]Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. Int. J. Comput. Vis. 117(2): 173-197 (2016) - [j18]Shenghua Gao, Lixin Duan, Ivor W. Tsang:
DEFEATnet - A Deep Conventional Image Representation for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 26(3): 494-505 (2016) - [j17]Shenghua Gao, Zinan Zeng, Kui Jia, Tsung-Han Chan, Jinhui Tang:
Patch-Set-Based Representation for Alignment-Free Image Set Classification. IEEE Trans. Circuits Syst. Video Technol. 26(9): 1646-1658 (2016) - [c21]Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang:
Cold-Start Heterogeneous-Device Wireless Localization. AAAI 2016: 1429-1435 - [c20]Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma:
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network. CVPR 2016: 589-597 - [c19]Bingbing Ni, Xiaokang Yang, Shenghua Gao:
Progressively Parsing Interactional Objects for Fine Grained Action Detection. CVPR 2016: 1020-1028 - [c18]Yanyu Xu, Shenghua Gao:
Bi-Level Multi-column Convolutional Neural Networks for Facial Landmark Point Detection. ECCV Workshops (2) 2016: 536-551 - [c17]Danlan Huang, Xiaoming Tao, Mai Xu, Shenghua Gao, Jianhua Lu:
Image compression via multiple learned geometric dictionaries. GlobalSIP 2016: 1373-1377 - 2015
- [j16]Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma:
Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition. Int. J. Comput. Vis. 111(3): 365-383 (2015) - [j15]Kui Jia, Lin Sun, Shenghua Gao, Zhan Song, Bertram E. Shi:
Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold. Neurocomputing 160: 250-260 (2015) - [j14]Shenghua Gao, Yuting Zhang, Kui Jia, Jiwen Lu, Yingying Zhang:
Single Sample Face Recognition via Learning Deep Supervised Autoencoders. IEEE Trans. Inf. Forensics Secur. 10(10): 2108-2118 (2015) - [j13]Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu:
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. IEEE Trans. Image Process. 24(11): 3717-3728 (2015) - [j12]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? IEEE Trans. Image Process. 24(12): 5017-5032 (2015) - [j11]Jinhui Tang, Lu Jin, Zechao Li, Shenghua Gao:
RGB-D Object Recognition via Incorporating Latent Data Structure and Prior Knowledge. IEEE Trans. Multim. 17(11): 1899-1908 (2015) - [j10]Qi Mao, Ivor W. Tsang, Shenghua Gao, Li Wang:
Generalized Multiple Kernel Learning With Data-Dependent Priors. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1134-1148 (2015) - [c16]Lu Jin, Zechao Li, Xiangbo Shu, Shenghua Gao, Jinhui Tang:
Partially Common-Semantic Pursuit for RGB-D Object Recognition. ACM Multimedia 2015: 959-962 - [c15]Dandan Fan, Benjin Li, Li Gang Fei, Shenghua Gao, Xiaohan Jin:
Design of global emergency communication system based on geosynchronous TDRSS. WCSP 2015: 1-4 - 2014
- [j9]I-Hong Jhuo, Guangnan Ye, Shenghua Gao, Dong Liu, Yu-Gang Jiang, D. T. Lee, Shih-Fu Chang:
Discovering joint audio-visual codewords for video event detection. Mach. Vis. Appl. 25(1): 33-47 (2014) - [j8]Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang:
Region-Based Saliency Detection and Its Application in Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 24(5): 769-779 (2014) - [j7]Shenghua Gao, Ivor Wai-Hung Tsang, Yi Ma:
Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Trans. Image Process. 23(2): 623-634 (2014) - [j6]Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang, Zhixiang Ren:
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding. IEEE Trans. Multim. 16(3): 762-771 (2014) - [c14]I-Hong Jhuo, Shenghua Gao, Liansheng Zhuang, D. T. Lee, Yi Ma:
Unsupervised Feature Learning for RGB-D Image Classification. ACCV (1) 2014: 276-289 - [c13]Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, Shenghua Gao:
Efficient Sparsity Estimation via Marginal-Lasso Coding. ECCV (4) 2014: 578-592 - [c12]Lu Jin, Shenghua Gao, Zechao Li, Jinhui Tang:
Hand-Crafted Features or Machine Learnt Features? Together They Improve RGB-D Object Recognition. ISM 2014: 311-319 - [i2]Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma:
PCANet: A Simple Deep Learning Baseline for Image Classification? CoRR abs/1404.3606 (2014) - [i1]Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma:
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. CoRR abs/1409.0964 (2014) - 2013
- [j5]Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia:
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 92-104 (2013) - [j4]Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia:
Sparse Representation With Kernels. IEEE Trans. Image Process. 22(2): 423-434 (2013) - [j3]Qi Mao, Ivor Wai-Hung Tsang, Shenghua Gao:
Objective-Guided Image Annotation. IEEE Trans. Image Process. 22(4): 1585-1597 (2013) - [j2]Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Deepu Rajan:
Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection. IEEE Trans. Image Process. 22(8): 3120-3132 (2013) - [c11]Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma:
Learning by Associating Ambiguously Labeled Images. CVPR 2013: 708-715 - [c10]Zhixiang Ren, Liang-Tien Chia, Deepu Rajan, Shenghua Gao:
Background subtraction via coherent trajectory decomposition. ACM Multimedia 2013: 545-548 - 2012
- [b1]Shenghua Gao:
Improving sparse coding with graph, kernel, and structure. Nanyang Technological University, Singapore, 2012 - [c9]Zhengxiang Wang, Shenghua Gao, Liang-Tien Chia:
Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization. ECCV (2) 2012: 230-244 - [c8]Zhixiang Ren, Shenghua Gao, Deepu Rajan, Liang-Tien Chia, Yun Huang:
Spatiotemporal Saliency Detection via Sparse Representation. ICME 2012: 158-163 - 2011
- [c7]Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang:
Multi-layer group sparse coding - For concurrent image classification and annotation. CVPR 2011: 2809-2816 - 2010
- [j1]Shenghua Gao, Liang-Tien Chia, Xiangang Cheng:
Web image concept annotation with better understanding of tags and visual features. J. Vis. Commun. Image Represent. 21(8): 806-814 (2010) - [c6]Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao:
Local features are not lonely - Laplacian sparse coding for image classification. CVPR 2010: 3555-3561 - [c5]Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia:
Kernel Sparse Representation for Image Classification and Face Recognition. ECCV (4) 2010: 1-14 - [c4]Huan Wang, Liang-Tien Chia, Shenghua Gao:
Wikipedia-assisted concept thesaurus for better web media understanding. Multimedia Information Retrieval 2010: 349-358 - [c3]Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor Wai-Hung Tsang:
Automatic image tagging via category label and web data. ACM Multimedia 2010: 1115-1118 - [c2]Shenghua Gao, Xiangang Cheng, Liang-Tien Chia:
Discovering Class-Specific Informative Patches and Its Application in Landmark Charaterization. MMM 2010: 218-228
2000 – 2009
- 2009
- [c1]Shenghua Gao, Xiangang Cheng, Huan Wang, Liang-Tien Chia:
Concept model-based unsupervised web image re-ranking. ICIP 2009: 793-796
Coauthor Index
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